干旱区生态环境知识资源中心(Arid): An improved intuitionistic fuzzy interval two-stage stochastic programming for resources planning management integrating recourse penalty from resources scarcity and surplus

Arid

DOI	10.1016/j.jclepro.2019.06.183
	An improved intuitionistic fuzzy interval two-stage stochastic programming for resources planning management integrating recourse penalty from resources scarcity and surplus
	Guo, Shanshan 1; Zhang, Fan 1; Zhang, Chenglong 1; Wang, Youzhi 1; Guo, Ping 1,2
通讯作者	Guo, Ping
来源期刊	JOURNAL OF CLEANER PRODUCTION
ISSN	0959-6526
EISSN	1879-1786
出版年	2019
卷号	234 页码:185-199
英文摘要	Two-stage programming (TSP) is popular in resources planning management, especially for limited and precious resources. Remarkable study has been done to improve the model performance. However, one of the biggest obstacle is lack of objectivity when it comes to penalty quantification derived from recourse behavior. Besides, much attention has been paid in the resources deficiency penalty but little in resources residual, which may lead to wasting. In order to clarify the physical meaning of mathematical equation for recourse penalty from both resources scarcity and surplus, the production frontier was estimated and the technical efficiency and shadow prices of resources were introduced into TSP to characterize the resources deficiency and residual penalty, respectively. Then, an intuitionist fuzzy interval two-stage stochastic programming (IFITSP) was generated integrating the uncertainty of fuzzy membership and traditional TSP. An integrated solving approach was proposed coupling several previous uncertain programming methods and an improved robust interval TSP method. A case study was conducted in an arid area of northwest China to schedule agricultural cultivation scale based on limited water resources. The inefficiencies were [0.26, 0.49], [0.14, 0.37] and [0, 0.03] for GZ, LZ, and GT. The shadow prices of GZ, LZ, and GT in 2015 were 12.94, 2.61, 2.67 Yuan/m(3) respectively, indicating the sever water crisis of GZ. The relatively unbiased and abundant decision could be generated by the developed IFITSP to help decision makers with various preferences make tradeoff between benefits and basic crop production requirement as well as balance resources deficiency and surplus. The results also show that the developed model could unveil the uncertainty influence of model inputs on decision strategies and trigger managers to deeply analyze subjective effect and associated risk. By comparison, the proposed methodology can not only clarify the physical meaning of penalty but deal with more complex uncertainty than previous methods. Therefore, the established model can provide reliable and scientific support for resources planning with recourse. (C) 2019 Elsevier Ltd. All rights reserved.
英文关键词	Interval two-stage programming Production frontier estimation Shadow price Intuitionistic fuzzy sets Water resources planning
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000483406000018
WOS关键词	NONPARAMETRIC FRONTIER ESTIMATION ; WATER-RESOURCES ; OPTIMIZATION MODEL ; AGRICULTURAL WATER ; IRRIGATION ; ALLOCATION ; BASIN
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
来源机构	中国农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216873
作者单位	1.China Agr Univ, Ctr Agr Water Res China, Tsinghuadong St 17, Beijing 100083, Peoples R China; 2.Minist Agr & Rural Affairs, Wuwei Expt Stn Efficient Water Use Agr, Wuwei 733000, Peoples R China
推荐引用方式 GB/T 7714	Guo, Shanshan,Zhang, Fan,Zhang, Chenglong,et al. An improved intuitionistic fuzzy interval two-stage stochastic programming for resources planning management integrating recourse penalty from resources scarcity and surplus[J]. 中国农业大学,2019,234:185-199.
APA	Guo, Shanshan,Zhang, Fan,Zhang, Chenglong,Wang, Youzhi,&Guo, Ping.(2019).An improved intuitionistic fuzzy interval two-stage stochastic programming for resources planning management integrating recourse penalty from resources scarcity and surplus.JOURNAL OF CLEANER PRODUCTION,234,185-199.
MLA	Guo, Shanshan,et al."An improved intuitionistic fuzzy interval two-stage stochastic programming for resources planning management integrating recourse penalty from resources scarcity and surplus".JOURNAL OF CLEANER PRODUCTION 234(2019):185-199.